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# extracted from CKAT.bin from CKAT package and adapted to suit package needs
#
# Debashis Ghosh and Xiang Zhan. "CKAT software" (2016)
# Available at: http://works.bepress.com/debashis_ghosh/75/
#
#' @importFrom stats model.matrix lm residuals
.lmFit <- function (y, X) {
n <- length(x = y)
if (ncol(X) > 0L) {
X1 <- stats::model.matrix(~. , as.data.frame(X))
} else {
X1 <- matrix(1.0, nrow(X), ncol = 1L)
}
mod <- stats::lm(y ~ X1 - 1)
res <- residuals(object = mod)
s2 <- sum(res^2)
P0 <- diag(x = n) - X1 %*% solve(a = crossprod(x = X1), b = t(x = X1))
return( list("P0" = P0, "res" = res, "s2" = s2) )
}
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